Daily Artificial Intelligence News Roundup #110

1. The Army Is Preparing To Send Driverless Vehicles Into Combat – Slashdot

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2. The business case for machine learning

Presented by Movere

Machine Learning (ML) is one of the most researched topics in computer science.

Machine Learning is the science of a machine learning and improving without being specifically programed to do so.

Several factors have contributed to the growth of this discipline:

Movere is helping customers maximize their investment in digital technology by helping to wrangle the massive amounts of data generated every day. Read More

3. How Speech Recognition Is Set to Disrupt

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4. [1810.08124] Approximate Dynamic Programming for Planning a Ride-Sharing System using Autonomous Fleets of Electric Vehicles

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5. [1810.08163] Fast deep reinforcement learning using online adjustments from the past

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6. Can Robots Grow Up To Be More Human?

Robots Can Crunch The Numbers, But Humans Are Better At Getting Customers to Take Action

In my latest report, I note that broad interest in automated investment services (AKA robo-advisors) remains low as 59% of US online adults are not interested in using robo-advisors and only 1% are currently using one. With the proliferation of digital advice platforms now available to provide asset allocation services and other recommendations, notably very few customers follow through on the digital advice and recommendations given to them. ”

Context And Timing Is Critical For Robots And Humans To Work Well Together

The wealth management firms that will therefore have an advantage are the ones that can blend human and digital touchpoints through collaborative advice. Read More

7. AI Alignment Podcast: On Becoming a Moral Realist with Peter Singer

Are there such things as moral facts. If so, how might we be able to access them. What does this all mean for the future of AI. Read More

8. AI and Human Creativity Go Hand in Hand

What does AI look like. AI’s self-portrait was published in The New York Times today and, looking at the image, I am amazed not only with the result, but also the journey we took to get there.

The New York Times contacted IBM Research in late September asking for our help to use AI in a clever way to create art for the coming special section on AI. Read More

9. Five Artificial Intelligence Insiders in Their Own Words

This means that the traditional distinctions between man and machine, as between humans and nature — distinctions that have underpinned Western philosophy, religion, and even political institutions — no longer hold. and gene editing promise (or is it threaten?) to redefine what counts as human and what it means to be human, philosophically as well as poetically and politically.

The questions posed by these experiments are the most profound possible. Read More

10. Will There Be a Ban on Killer Robots?

Defense contractors, identifying a new source of revenue, are eager to build the next-generation machinery. Last year, Boeing reorganized its defense business to include a division focused on drones and other unmanned weaponry. More than 100 drones were dropped from a fighter jet in a disorganized heap, before quickly coming together to race toward and encircle a target. Read More

11. The Computer Chauffeur Is Creeping Closer

The intelligence within cars — that is, their ability to learn and to apply that knowledge — is far from artificial; it is hard-earned. ”

Aptiv, a spinoff from Delphi Automotive, an auto industry supplier, builds the data sets that a trained A. In some cases, this work is done overseas to reduce costs, and suppliers can make use of basic image collections — known as a trained data set — obtained off the shelf from market-research organizations. Read More

12. Rubber robot can detect leaks in pipes

Rubber robot can detect leaks in pipes

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We have seen a trend in robots intended to make our everyday lives easier and more efficient. Similarly, the recent development of a robot named Lighthouse, seeks to prevent pipes bursting by identifying initial leaks. The Lighthouse robot could go one step further to help preserve safe drinking water for those who do not have access to it. Read More

13. Self-driving cars need a new kind of map

Self-driving cars currently lack the common sense needed to navigate using a traditional human map. Since they can’t interpret context, they need to rely on a map signal that doesn’t cut out in tunnels, waver in precision or fall out of date.

The big picture: A new class of machine maps have thus become an essential element of safe and predictable vehicle autonomy. Read More